remove the ::: reference

Author: jonathan-taylor

selectiveInference/R/funs.ROSI.R

@@ -64,26 +64,23 @@ solve_problem_Q = function(Xdesign,
 
   #solve_QP_wide solves n*linear_func^T\beta+1/2(X\beta)^T (X\beta)+\sum\lambda_i|\beta_i|
 
-  #print('lambda')
-  #print(as.numeric(n*penalty_factor*lambda_glmnet))
-
-  result = selectiveInference:::solve_QP_wide(Xdesign,                                       # this is a design matrix
-                                              as.numeric(penalty_factor*lambda_glmnet),      # vector of Lagrange multipliers
-                                              0,                                             # ridge_term 
-                                              max_iter, 
-                                              soln, 
-                                              linear_func, 
-                                              gradient, 
-                                              Xsoln,
-                                              ever_active, 
-                                              nactive, 
-                                              kkt_tol, 
-                                              objective_tol, 
-                                              parameter_tol,
-                                              max_active,
-                                              kkt_stop,
-                                              objective_stop,	
-                                              parameter_stop)
+  result = solve_QP_wide(Xdesign,                                       # this is a design matrix
+                         as.numeric(penalty_factor*lambda_glmnet),      # vector of Lagrange multipliers
+                         0,                                             # ridge_term 
+                         max_iter, 
+                         soln, 
+                         linear_func, 
+                         gradient, 
+                         Xsoln,
+                         ever_active, 
+                         nactive, 
+                         kkt_tol, 
+                         objective_tol, 
+                         parameter_tol,
+                         max_active,
+                         kkt_stop,
+                         objective_stop,	
+                         parameter_stop)
 
   return(result$soln)
 }